Llama 4 Maverick vs Qwen3.7 Max
Which is better for the money: Llama 4 Maverick by Meta or Qwen3.7 Max by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-25.
Trade-off
Verdict
Depends on your budget
Qwen3.7 Max scores 20.2 points higher (29.5 vs 9.3) but costs 52× as much to run the benchmark ($2277 vs $44.0; flagship vs budget cost classes). They are not alternatives at one budget: pick Qwen3.7 Max when you need intelligence above 9.3, and Llama 4 Maverick when 9.3 is enough.
| Metric | Llama 4 Maverick | Qwen3.7 Max | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 9.3 | 29.5 | +217.2% Qwen3.7 Max is 3.2× more intelligent |
| Total AA cost (lower is better) | $43.98 | $2,277.12 | +5077.6% Qwen3.7 Max is 52× more expensive |
| End-to-end time (lower is better) | 10.41s | 16.62s | +59.7% Qwen3.7 Max is 59.7% slower |
| Price per 1M tokens (in / out) | $0.25 / $0.92 | $2.50 / $7.50 | |
| Input modalities | Text, Image | Text |
Qwen3.7 Max vs Llama 4 Maverick: 217.2% more intelligence, 5077.6% more cost to run the AA benchmark, and 59.7% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Llama 4 Maverick is off the frontier: at the same or lower cost, GPT-6 Luna (Medium) scores 29.90 for $31.2.
- Qwen3.7 Max is off the frontier: at the same or lower cost, Claude Opus 5.5 (High, Default Fallback) scores 53.60 for $2172.
Llama 4 MaverickQwen3.7 MaxToday's Pareto frontierOpen-weights frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/llama-4-maverick/qwen3-7-max · Markdown: /api/v1/compare/llama-4-maverick/qwen3-7-max?format=md · llms.txt · agent skill